13%
15.09.2020
} (default: yes
)
-o cache_timeout=N
– sets timeout for caches in seconds (default: 20
)
-o cache_X_timeout=N
– sets timeout for {stat
,dir
,link
} caches
-o compression=BOOL
– enables data
13%
21.04.2015
-r--r-- 2 root root 6 3. Feb 18:36 .glusterfs/0d/19/0d19fa3e-5413-4f6e-abfa-1f344b687ba7
#
# ls -alid dir1 .glusterfs/fe/9d/fe9d750b-c0e3-42ba-b2cb-22ff8de3edf0 .glusterfs
/00/00
13%
05.08.2024
.Exit(1)
15 }
16
17 run(os.Args[1])
18 }
19
20 func row() {
21 for i := 0; i < size; i++ {
22 for j := 0; j < size; j++ {
23 array[i][j]++
24 }
25 }
26 }
27
28
13%
03.12.2024
, MaxPooling
2D
:
model.add(layers.BatchNormalization())
model.add(layers.MaxPooling2D(pool_size=(2,2)))
A max pooling layer has a pool size, 2x2 in this case, that is used to scan the entire input image (left
13%
14.03.2013
(pr->pr_path), 0);
17 [...]
18 error = copyinstr(j.hostname,
19 &pr->pr_host, sizeof(pr->pr_host), 0);
20 [...]
21 pr->pr_ip = j.ip_number;
22 pr->pr_linux = NULL;
23 pr->pr_securelevel = securelevel
13%
31.07.2013
_record;
14 int counter_limit;
15
16 counter_limit = 100;
17
18 for ( counter=1; counter <= counter_limit; counter++)
19 {
20 my_record.x = counter;
21 my_record.y = counter + 1
13%
02.07.2014
:
[laytonjb@home4 ~]$ pdsh -w 192.168.1.250 uname -r
192.168.1.250: 2.6.32-431.11.2.el6.x86_64
The -w
option means I am specifying the node(s) that will run the command. In this case, I specified the IP
13%
30.11.2020
timeout for caches in seconds (default: 20)
* -o cache_X_timeout=N
Sets timeout for {stat,dir,link} caches
* -o compression=BOOL
Enables data compression {yes, no}
* -o
13%
30.11.2025
As of kernel 2.4.x
As of kernel 2.2.x
Asianux/Red Flag, CentOS, Debian, Novell OES, Red Hat, SUSE, Ubuntu
BSD
–
FreeBSD, NetBSD, OpenBSD
No
No
Free
13%
26.01.2025
version isn't even 3.x. I haven't tested the code with Keras 3.x yet, so your mileage may vary if you go that route.
CIFAR-10
The model and dataset I use is CIFAR-10 [6]. It is a very common dataset
